中国汽车多模态互动发展（2025）

一、多模态互动的闭环演进：L1-L4智慧座舱的逐步演进

根据中国汽车工程师学会（China-SAE）共同发布的 "汽车智慧座舱等级及综合评估白皮书" ，智慧座舱定义为L0至L4五个等级。

多模态互动功能是座舱智慧的关键组成部分，它结合了大规模人工智慧模型和多种硬体元件，实现了多来源互动资料的融合与处理。这使得系统能够准确地理解驾驶和乘客的意图，提供场景特定的回馈，最终实现自然、安全、个人化的人机互动。目前，汽车智慧座舱产业大多处于L2等级，一些领先厂商正在探索向L3等级的过渡。

L2智慧座舱的核心特征是 "强感知，弱认知" 。在L2阶段，座舱的多模态互动能力实现了讯号级融合。基于多模态大规模建模技术，它能够“理解用户的模糊意图”和​​“同时处理多个指令”，从而能够立即明确地执行用户的指令。目前大多数量产智慧座舱都具备此功能。

L3智慧座舱的核心特征是 "强感知，强认知" 。在L3阶段，座舱的多模态互动能力实现了认知级融合。基于大规模建模能力，座舱系统能够全面理解当前情况，并在使用者无需发出明确指令的情况下主动提供相应的服务和建议。

L4智慧座舱的核心特征是“全局认知与自主演化”，为使用者打造“全域智慧管理器”。在L4阶段，智慧座舱的用途远不止于简单的工具。它成为“数位孪生伙伴”，能够预测使用者未表达的需求，拥有共享记忆，并为使用者调动所有资源。其核心体验在于，系统甚至在使用者明确意识到或表达需求之前，就已经完成预测和规划，并进入执行状态。

二、多模态AI代理：理解请求与预测想法

随着智慧座舱从L2演进到L4，AI代理被视为实现特定功能的核心执行单元和关键技术架构。 透过整合音讯、视觉、触觉和上下文讯息，人工智慧代理不仅能够 "理解" 指令，还能 "视觉化" 环境并 "感知" 状况，从而将传统上分散的驾驶舱功能整合到一个连贯、主动且个性化的服务流程中。

在L2层使用代理被视为“增强指令执行”，最终扩展了L2驾驶舱的交互能力。基于大规模模型技术，驾驶舱系统将复杂的使用者指令分解为多个步骤，并透过顺序呼叫不同的代理工具来执行这些步骤。

目前，代理的主要目的是回应和执行明确且复杂的使用者指令。驾驶舱系统并非 "主动" 执行任务；它们只是 "更聪明地完成使用者指派的任务" 。

本报告调查并分析了中国汽车产业，提供了有关汽车驾驶舱内安装的交互模式数量、多模式交互相关专利以及汽车製造商和供应商提供的驾驶舱交互解决方案的资讯。

目录

前言

相关定义

第一章 汽车座舱多模态互动概述

• 智慧座舱的发展阶段
• 多模态交互作用的定义
• 多模态互动开发体系
• 核心交互模态技术简介（一）：触觉交互
• 核心交互模态技术简介（二）：听觉交互
• 核心交互模态技术简介（三）：视觉交互
• 核心交互模态技术简介（四）：嗅觉交互
• 智慧座舱大规模模型的应用场景
• 基于多模态人工智慧大规模模型的车人互动功能
• 多模态互动产业链
• 多模态人工智慧大规模模式产业炼式
• 多模态互动的政策环境
• 将互动模式整合到驾驶舱中

第二章 汽车多模态互动相关专利概述

• 触觉互动相关专利概述
• 听觉互动相关专利概述
• 视觉互动相关专利概述
• 嗅觉互动相关专利概述

第三章 OEM 多模态互动驾驶舱解决方案

• 比亚迪
• 上汽英豪
• 一汽红旗
• 吉利
• 长城汽车
• 奇瑞
• 长安
• 沃亚
• 力车
• 蔚来汽车
• 跃跃欲试
• 小鹏汽车
• 小米
• BMW

第四章：供应商的多模式座舱解决方案

• 德赛科技
• 均胜电子
• 商汤科技
• 科大讯飞
• 雷霆科技
• 华为
• 百度
• 半马智行

第五章：多模式互动解决方案在典型车型中的应用实例

• 多模式互动解决方案在典型车型中的应用实例总结（一）
• 多模式互动解决方案在典型车型中的应用实例总结（二）
• 多模式互动解决方案在典型车型中的应用实例总结（三）多模态互动解决方案在典型车型中的应用实例（4）
• 多模态互动解决方案在典型车型中的应用实例总结（5）
• 全新IM L6：多模态交互特征概述
• 全新IM L6：显着模态交互作用特性分析
• 方城宝8：多模态交互特征概述
• 方城宝8：特色模态互动特征分析
• 红旗金奎化国亚：多模态互动特征概述
• 红旗金奎化国亚：特色模态互动特质分析（1）
• 红旗金奎化国亚：特色模态互动特质分析（2）
• 红旗金奎化国亚：特色模态互动特质分析（3）
• 电驰N9：多模态交互特征概述
• 电驰N9：特色模态互动特征分析互动特性（1）
• Denza N9：特色模态交互特性分析（2）
• Zeekr 9X：多模态互动特性概览
• Zeekr 9X：特色模态互动特性分析
• 吉利 Galaxy A7：多模态互动特性概览
• Leapmotor B10：多模态互动特性概览
• Li i6：多模态互动特性概览
• Li i6：特色模态交互特性分析（1）
• Li i6：特色模态互动特性分析（2）
• 小鹏 G7：多模态互动特性概览
• 小鹏 G7：特色模态互动特性分析
• 小米 YU7：多模态互动特性概览
• 小米 YU7：特色模态互动特性分析
• MAEXTRO S800：概览多模态互动特性概述
• MAEXTRO S800：特色模态互动特性分析（1）
• MAEXTRO S800：特色模态互动特性分析（2）
• MAEXTRO S800：特色模态互动特性分析（3）
• 2025 AITO M9：多模态交互特性概述
• 2025 AITO M9：特色模态互动特性分析（1）
• 2025 AITO M9：特色模态互动特性分析（2）
• 2025 AITO M9：特色模态互动特性分析（3）
• 2025 AITO M9：特色模态互动特性分析（4）
• 全新 BMW X3 M50：多模态互动特性概述
• 全新 BMW X3 M50：特色模态互动特性分析
• 2026 AudiE5 Sportback：多模态互动功能概述
• 2026款AudiE5 Sportback：特色模态互动功能分析（1）
• 2026款AudiE5 Sportback：特色模态互动功能分析（2）
• 全新梅赛德斯-奔驰CLA电动版：多模态互动功能概述
• 全新梅赛德斯-宾士CLA电动版：特色模态互动功能分析

第六章：多模态交互作用的总结与发展趋势

• OEM 大规模模型配置参数总结
• 趋势一：基于 AI 大规模模型的多模态交互演进
• 趋势二
• 趋势三（语音互动）
• 趋势四（视觉互动）

Research on Automotive Multimodal Interaction: The Interaction Evolution of L1~L4 Cockpits

ResearchInChina has released the "China Automotive Multimodal Interaction Development Research Report, 2025". This report comprehensively sorts out the installation of Interaction Modalities in automotive cockpits, multimodal interaction patents, mainstream cockpit interaction modes, application of interaction modes in key vehicle models launched in 2025, cockpit interaction solutions of automakers/suppliers, and integration trends of multimodal interaction.

I. Closed-Loop Evolution of Multimodal Interaction: Progressive Evolution of L1~L4 Intelligent Cockpits

According to the "White Paper on Automotive Intelligent Cockpit Levels and Comprehensive Evaluation" jointly released by the China Society of Automotive Engineers (China-SAE), five levels of intelligent cockpits are defined: L0-L4.

As a key driver for cockpit intelligence, multimodal interaction capability relies on the collaboration of AI large models and multiple hardware to achieve the fusion processing of multi-source interaction data. On this basis, it accurately understands the intentions of drivers and passengers and provides scenario-based feedback, ultimately achieving natural, safe, and personalized human-machine interaction. Currently, the automotive intelligent cockpit industry is generally in the L2 stage, with some leading manufacturers exploring and moving towards the L3.

The core feature of L2 intelligent cockpits is "strong perception, weak cognition". In the L2 stage, the multimodal interaction function of cockpits achieves signal-level fusion. Based on multimodal large model technology, it can "understand users' ambiguous intentions" and "simultaneously process multiple commands" to execute users' immediate and explicit commands. At present, most mass-produced intelligent cockpits can enable this.

In the case of Li i6, it is equipped with MindGPT-4o, the latest multimodal model which boasts understanding and response capabilities with ultra-long memory and ultra-low latency, and features more natural language generation. It supports multimodal "see and speak" (voice + vision fusion search: allowing illiterate children to select the cartoons they want to watch by describing the content on the video cover); multimodal referential interaction (voice + gesture: 1. Voice reference to objects: while issuing commands, extend the index finger: pointing left can control the window and complete vehicle control. 2. Voice reference to personnel: passengers in the same row can achieve voice control over designated personnel through gesture and voice coordination, e.g., pointing right and saying "Turn on the seat heating for him").

The core feature of L3 intelligent cockpits is "strong perception, strong cognition". In the L3 stage, the multimodal interaction function of cockpits achieves cognitive-level fusion. Relying on large model capabilities, the cockpit system can comprehensively understand the complete current scenario and actively initiate reasonable services or suggestions without the user issuing explicit commands.

The core feature of L4 intelligent cockpits is "full-domain cognition and autonomous evolution", creating a "full-domain intelligent manager" for users. In the L4 stage, the application of intelligent cockpits will go far beyond the tool attribute and become a "digital twin partner" that can predict users' unspoken needs, have shared memories, and dispatch all resources for users. Its core experience is: before the user clearly perceives or expresses the need, the system has completed prediction and planning and entered the execution state.

II. Multimodal AI Agent: Understand What You Need and Predict What You Think

AI Agent can be regarded as the core execution unit and key technical architecture for the specific implementation of functions in the evolution of intelligent cockpits from L2 to L4. By integrating voice, vision, touch and situational information, AI Agent can not only "understand" commands, but also "see" the environment and "perceive" the state, thereby integrating the original discrete cockpit functions into a coherent, active and personalized service process.

Agent applications under L2 can be regarded as "enhanced command execution", which is the ultimate extension of L2 cockpit interaction capabilities. Based on large model technology, the cockpit system decomposes a user's complex command into multiple steps and then calls different Agent tools to execute them. For example, a passenger says: "I'm tired, help me buy a cup of coffee." The large model of the L2 cockpit system will understand this complex command and then call in sequence:

1.Voice Agent: Parse user needs in real time;

2.Food Ordering Agent: Recommend the best options according to user preferences, real-time location, and restaurant business status;

3.Payment Agent: Automatically complete unconscious payment;

4.Delivery Agent: Dynamically plan the food delivery time combined with vehicle navigation data (e.g., "food arrives when the car arrives", ensuring that the food is delivered synchronously when the user reaches the destination).

Currently, Agent applications are essentially responses and executions to a user's explicit and complex commands. The cockpit system does not do anything "actively", and it just "completes the tasks assigned by the user" more intelligently.

Case (1): IM Motors released the "IM AIOS Ecological Cockpit" jointly developed with Banma Zhixing. This cockpit is the first to implement Alibaba's ecosystem services in the form of AI Agent, creating a "No Touch & No App" human-vehicle interaction mode. The "AI Food Ordering Agent" and "AI Ticketing Agent" functions launched by the IM AIOS Ecological Cockpit allow users to complete food selection/ticketing and payment only through voice interaction without needing manual operation.

Case (2): On August 4, 2025, Denza officially launched the "Car Life Agent" intelligent service system at its brand press conference, which is first equipped on two flagship models, Denza Z9 and Z9GT. The "Car Life Agent" supports voice food ordering and enables payment by face with face recognition technology. After completing the order, the system will automatically plan the navigation route, forming a seamless experience of "demand-service-closed loop".

In the next level of intelligent cockpits, Agent applications will change from "you say, I do" to "I watch, I guess, I suggest, let's do it together". Users do not need to issue any explicit commands. They just sigh and rub their temples, and the system can comprehensively judge data from "camera" (tired micro-expressions), "biological sensors" (heart rate changes), "navigation data" (continuous driving for 2 hours), and "time" (3 pm (afternoon sleepiness period)) via the large model to know that "the user is in the tired period of long-distance driving and has the need to rest and refresh". Based on this, the system will take the initiative to initiate interaction: "You seem to need a rest. There is a service zone* kilometers ahead with your favorite ** coffee. Do you need me to turn on the navigation? At the same time, I can play refreshing music for you." After the user agrees, the system then calls navigation, entertainment and other Agent tools.

Table of Contents

Foreword

Related Definitions

1 Overview of Multimodal Interaction in Automotive Cockpits

• 1.1 Development Stages of Intelligent Cockpits
• 1.2 Definition of Multimodal Interaction
• 1.3 Development System of Multimodal Interaction
• 1.4 Introduction to Core Interaction Modality Technologies (1): Haptic Interaction
• Mainstream Contact Haptic Vibration Feedback Technology
• Core Application Scenarios of Haptic Interaction
• 1.4 Introduction to Core Interaction Modality Technologies (2): Auditory Interaction
• Core Application Scenarios of Voice Interaction
• Voice Interaction - Voiceprint Recognition
• 1.4 Introduction to Core Interaction Modality Technologies (3): Visual Interaction
• Visual Interaction: Face Recognition Technology Roadmap
• Visual Interaction: DMS Technology Roadmap
• Visual Interaction: Gesture Recognition Technology Roadmap
• 1.4 Introduction to Core Interaction Modality Technologies (4): Olfactory Interaction
• 1.5 Application Scenarios of Large Models in Intelligent Cockpits
• 1.6 Vehicle-Human Interaction Functions Based on Multimodal AI Large Models
• 1.7 Industry Chain of Multimodal Interaction
• 1.8 Industry Chain of Multimodal AI Large Models
• 1.9 Policy Environment for Multimodal Interaction
• Summary of Regulations Concerning Network Data Security of Intelligent Connected Vehicles
• Laws and Regulations on Multimodal Interaction (1): Data Security Law
• Laws and Regulations on Multimodal Interaction (2): Several Provisions on the Administration of Automobile Data Security
• Laws and Regulations on Multimodal Interaction (3): Measures for Security Assessment of Data Outbound Transfer
• Latest Mandatory National Standards for Multimodal Interaction
• 1.10 Installation of Interaction Modalities in Cockpits
• Installations & Installation Rate of In-vehicle Voice Recognition, 2025
• Installations & Installation Rate of Vehicle External Voice Interaction, 2025
• Installations & Installation Rate of In-vehicle Gesture Recognition, 2025
• Installations & Installation Rate of Voice + Gesture Fusion Interaction, 2025 Interaction, 2025
• Installations & Installation Rate of In-vehicle Biometric Recognition, 2025
• Installations & Installation Rate of In-vehicle DMS, 2025
• Installations & Installation Rate of In-vehicle OMS, 2025

2 Summary of Patents Related to Automotive Multimodal Interaction

• 2.1 Summary of Patents Related to Haptic Interaction
• Cockpit Haptic Interaction Patents
• 2.2 Summary of Patents Related to Auditory Interaction
• Summary of Automotive Voice Interaction Patents (1): Automakers
• Summary of Automotive Voice Interaction Patents (2): Suppliers
• Summary of Automotive Voice Interaction Patents (3): Universities/Research Institutions
• 2.3 Summary of Patents Related to Visual Interaction
• Patents Related to Gesture Recognition
• Patents Related to Emotion Recognition
• Patents Related to In-Cabin Monitoring (1): IMS (In-Cabin monitoring System)
• Patents Related to In-Cabin Monitoring (2): DMS (Driver Monitoring System)
• Patents Related to In-Cabin Monitoring (3): OMS (Occupant Monitoring System)
• In-Cabin Eye Tracking & Payment by Face
• 2.4 Summary of Patents Related to Olfactory Interaction
• Summary of Patents Related to In-vehicle Fragrance System
• 2.5 Summary of Patents Related to Other Featured Interaction Modalities
• Patents Related to Fingerprint Recognition
• Patents Related to Heart Rate Recognition
• Patents Related to Iris Recognition
• Patents Related to Bioelectromyography Recognition

3 Multimodal Interaction Cockpit Solutions of OEMs

• 3.1 BYD
• HMI Functions of BYD's Previous-Generation Intelligent Cockpit Systems
• BYD's New-Generation DiLink Intelligent Cockpit
• Featured Multimodal Interaction Applications of BYD DiLink Intelligent Cockpit
• BYD Integrates DeepSeek R1 & Tongyi Series Large Models to Enhance Interaction Capabilities
• BYD Launches Car Life Agent, Supporting Voice Ordering + Payment by Face
• Summary of BYD's Interaction Modality OTA Content in Recent Years
• Summary of Denza's Interaction Modality OTA Content in Recent Years
• Summary of Fangchengbao's Interaction Modality OTA Content in Recent Years
• Summary of Yangwang's Interaction Modality OTA Content in Recent Years
• 3.2 SAIC IM Motors
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• IM AIOS Cockpit Pioneers A Vehicle-Human Interaction Mode: "No Touch & No App"
• Core Multimodal Interaction: Voice Interaction
• Summary of Interaction Modality OTA Content in Recent Years
• 3.3 FAW Hongqi
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• The New "Lingshi Cockpit" Features Audio-Visual Interaction
• Summary of HMI Functions of Lingshi Cockpit
• 3.4 Geely
• HMI Functions of Geely's Previous-Generation Intelligent Cockpit Systems
• HMI Functions of Lynk & Co's Previous-Generation Intelligent Cockpit Systems
• HMI Functions of Zeekr's Previous-Generation Intelligent Cockpit Systems
• Geely's AI Intelligent Cockpit Strategy: Fully Entering the AI Era to Achieve "One Geely, One Cockpit"
• Geely's AI Intelligent Cockpit Technical Architecture
• Geely's New-Generation AI Cockpit Operating System Flyme Auto 2 Leads Cockpit Interaction into a New Experience of "Services Finding Users"
• Geely Launches Multimodal Agent Eva to Perceive User Emotions and Provide Proactive Care
• The Intelligent Cockpit System of the Latest Zeekr AI OS 7 Launches AI Eva Agent
• Summary of Geely's Interaction Modality OTA Content in Recent Years
• Summary of Lynk & Co's Interaction Modality OTA Content in Recent Years
• Summary of Zeekr's Interaction Modality OTA Content in Recent Years
• 3.5 Great Wall Motor
• HMI Functions of WEY's Previous-Generation Intelligent Cockpit Systems
• Coffee OS 3 Smart Space System
• Coffee OS 3.1 Upgrades Voice Interaction Functions and Supports the Support Digital Health Applications in IVI Linkage
• Coffee OS 3.3 Continuously Optimizes Voice Interaction Functions
• Summary of WEY's Interaction Modality OTA Content in Recent Years
• Summary of Tank's Interaction Modality OTA Content in Recent Years
• 3.6 Chery
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Lion Tech Intelligent Cockpit
• Chery Cooperated with SenseTime to Build the Next-Generation AIOS, Enabling Proactive Services and Emotional Companionship in Intelligent Cockpits
• Summary of Interaction Modality OTA Content in Recent Years
• 3.7 Changan
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Tianshu Intelligent Cockpit Enhances Vehicle-Human Interaction and Health Protection Function Experiences
• Summary of Interaction Modality OTA Content in Recent Years
• 3.8 Voyah
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Xiaoyao Cockpit 2.0 Upgrades Five-Sense and Intelligent Experiences
• Summary of Multimodal Interaction Capabilities of Xiaoyao Cockpit
• Summary of Interaction Modality OTA Content in Recent Years
• 3.9 Li Auto
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Intelligent Cockpit 7.0: Fully Upgrades the Lixiang Tongxue Function Based on Mind GPT
• Intelligent Cockpit 7.4: Upgrades the Lixiang Tongxue Life Assistant Agent to Realize Food Delivery Ordering Function
• Intelligent Cockpit 8.0: Fully Upgrades Lixiang Tongxue to Lixiang Tongxue Agent
• Summary of Interaction Modality OTA Content in Recent Years
• 3.10 NIO
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Featured Interaction: NOMI Voice Interaction System
• Summary of Interaction Modality OTA Content in Recent Years
• Summary of ONVO's Interaction Modality OTA Content in Recent Years
• Summary of Firefly's Interaction Modality OTA Content in Recent Years
• 3.11 Leapmotor
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Leapmotor OS 4.0 PLUS Intelligent Cockpit System Equipped with Dual AI Large Voice Models
• Leapmotor Cooperated with Unity China to Create a New HMI Experience for the Next-Generation Intelligent Cockpit
• Summary of Interaction Modality OTA Content in Recent Years
• 3.12 Xpeng
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• VLM Large Model Defines the Next-Generation Intelligent Cockpit Interaction Experience
• Featured Multimodal Interaction Functions
• Summary of Interaction Modality OTA Content in Recent Years
• 3.13 Xiaomi
• Hyper Intelligent Cockpit
• "Super Xiaoai" Multimodal Fusion Application
• Xiaomi Adds AI Spatial Interaction Sensors to Achieve Air Gesture Control
• Summary of Interaction Modality OTA Content in Recent Years
• 3.14 BMW
• HMI Functions of Previous-Generation Intelligent Cockpit Systems
• Panoramic iDrive Equipped with Ultra-Sensitive Quality Control Steering Wheel and AI Large Language Model
• Typical Models with In-Vehicle Infotainment Systems: All-New BMW iX3

4 Multimodal Cockpit Solutions of Suppliers

• 4.1 Desay SV
• Profile
• Development Strategy
• Multimodal Interaction Solution: Smart Solution 3.0
• Multimodal Interaction Solution: Smart Solution 3.0 Innovative Scenario Applications
• Desay SV and ModelBest Jointly Released On-device Large Model Voice Interaction Solution
• 4.2 Joyson Electronics
• Profile
• Evolution and Definition of JOYNEXT Intelligent Cockpit
• JoySpace+ Immersive Intelligent Cockpit Solution Integrates Multiple Innovative Multimodal Interaction Technologies
• JoySpace+ Immersive Intelligent Cockpit Solution: Sensory Interaction
• JoySpace+ Immersive Intelligent Cockpit Solution: Light and Shadow Space
• JoySpace+ Immersive Intelligent Cockpit Solution: Smart Space
• 4.3 SenseTime
• Profile of SenseTime
• SenseAuto Intelligent Cockpit Product System
• Models-as-a-Service (MaaS) of SenseAuto On-device Multimodal Large Model MAAS
• Open Model Atomic Capabilities of SenseAuto On-device Multimodal Large Model (1): Full-Cabin Scenario Perception
• Open Model Atomic Capabilities of SenseAuto On-device Multimodal Large Model (2): Multimodal Fusion Capabilities
• Open Model Atomic Capabilities of SenseAuto On-device Multimodal Large Model (3): Multi-Image Perception Capabilities
• SenseAuto Multimodal Interaction Application Cases
• 4.4 iFLYTEK
• Profile
• Full-Stack Intelligent Interaction Technology
• Spark Smart Cockpit
• Spark Smart Cockpit 2.0
• Spark Smart Cockpit 2.0: Applications
• Characteristics of Multimodal Perception System: Safety Protection, Personalized Interaction, Multimodal Interaction
• Multimodal Interaction Becomes a Key Direction of iFLYTEK Super Brain 2030 Plan
• 4.5 Thundersoft
• Profile
• AIDV Roadmap
• Device-Edge-Cloud AI Cockpit Solution Creates Full-Link Multimodal Services
• AIBOX+AIOS Integrated Solution Deeply Integrates Multimodal Interaction
• AquaDrive OS 1.0 Evo, Offering Innovative Cockpit Interaction Experience
• 4.6 Huawei
• Profile
• HarmonyOS Evolution History
• HarmonySpace 5 Achieves Immersive Interaction Based on Five-Sense Synergy Technology
• HarmonySpace Reshapes Multimodal Interaction Functions Based on Qianwu Large Model
• Qianwu Interaction Characteristics (1): Enhances Xiaoyi Voice Capabilities + In-vehicle Sensing + Visual Perception Capabilities to Achieve Unconscious Interaction
• Qianwu Interaction Characteristics (2): Supports Millimeter-Level Precise Perception and Full-Cabin Multimodal Human Body Perception
• Featured Interaction Function: Multimodal Monitoring System to Create Driver Incapacitation Assistance Function
• 4.7 Baidu
• Profile
• Apollo Super Cockpit: Building Agents with Full-Sense Fusion, Global Planning and Full-Domain Execution
• Intelligent Cockpit Deeply Integrates End-to-End Cross-Modal AI Voice
• Intelligent Cockpit Deeply Integrates End-to-End Cross-Modal AI Voice: Launches Xiaodu Ideal Agent
• Intelligent Cockpit Deeply Integrates End-to-End Cross-Modal AI Voice: In-vehicle Application Case
• 4.8 Banma Zhixing
• Profile
• Banma Zhixing Released Intelligent Cockpit AI Technology Brand - Yan AI
• Yan AI Released "One Rocket, Ten Satellites" Interactive Agents
• Banma Zhixing Released Yan AI Hybrid E2E Framework
• Banma Zhixing First Launched Full-Modal On-device Large Model Vehicle-Mounted Solution AutoOmni
• Banma Zhixing Initiated the "AI Vehicle-Mounted Platform Service Ecological Alliance" with Ecosystem Partners

5 Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models

• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (1)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (2)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (3)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (4)
• 5.1 Summary of Application Cases of Multimodal Interaction Solutions for Typical Vehicle Models (5)
• 5.2 All-New IM L6: Panoramic Summary of Multimodal Interaction Functions
• 5.2 All-New IM L6: Analysis of Featured Modal Interaction Capabilities
• 5.3 Fangchengbao Bao 8: Panoramic Summary of Multimodal Interaction Functions
• 5.3 Fangchengbao Bao 8: Analysis of Featured Modal Interaction Capabilities
• 5.4 Hongqi Jinkuihua Guoya: Panoramic Summary of Multimodal Interaction Functions
• 5.4 Hongqi Jinkuihua Guoya: Analysis of Featured Modal Interaction Capabilities (1)
• 5.4 Hongqi Jinkuihua Guoya: Analysis of Featured Modal Interaction Capabilities (2)
• 5.4 Hongqi Jinkuihua Guoya: Analysis of Featured Modal Interaction Capabilities (3)
• 5.5 Denza N9: Panoramic Summary of Multimodal Interaction Functions
• 5.5 Denza N9: Analysis of Featured Modal Interaction Capabilities (1)
• 5.5 Denza N9: Analysis of Featured Modal Interaction Capabilities (2)
• 5.6 Zeekr 9X: Panoramic Summary of Multimodal Interaction Functions
• 5.6 Zeekr 9X: Analysis of Featured Modal Interaction Capabilities
• 5.7 Geely Galaxy A7: Panoramic Summary of Multimodal Interaction Functions
• 5.8 Leapmotor B10: Panoramic Summary of Multimodal Interaction Functions
• 5.9 Li i6: Panoramic Summary of Multimodal Interaction Functions
• 5.9 Li i6: Analysis of Featured Modal Interaction Capabilities (1)
• 5.9 Li i6: Analysis of Featured Modal Interaction Capabilities (2)
• 5.10 Xpeng G7: Panoramic Summary of Multimodal Interaction Functions
• 5.10 Xpeng G7: Analysis of Featured Modal Interaction Capabilities
• 5.11 Xiaomi YU7: Panoramic Summary of Multimodal Interaction Functions
• 5.11 Xiaomi YU7: Analysis of Featured Modal Interaction Capabilities
• 5.12 MAEXTRO S800: Panoramic Summary of Multimodal Interaction Functions
• 5.12 MAEXTRO S800: Analysis of Featured Modal Interaction Capabilities (1)
• 5.12 MAEXTRO S800: Analysis of Featured Modal Interaction Capabilities (2)
• 5.12 MAEXTRO S800: Analysis of Featured Modal Interaction Capabilities (3)
• 5.13 2025 AITO M9: Panoramic Summary of Multimodal Interaction Functions
• 5.13 2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (1)
• 5.13 2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (2)
• 5.13 A2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (3)
• 5.13 2025 AITO M9: Analysis of Featured Modal Interaction Capabilities (4)
• 5.14 All-New BMW X3 M50: Panoramic Summary of Multimodal Interaction Functions
• 5.14 All-New BMW X3 M50: Analysis of Featured Modal Interaction Capabilities
• 5.15 2026 Audi E5 Sportback: Panoramic Summary of Multimodal Interaction Functions
• 5.15 2026 Audi E5 Sportback: Analysis of Featured Modal Interaction Capabilities (1)
• 5.15 2026 Audi E5 Sportback: Analysis of Featured Modal Interaction Capabilities (2)
• 5.16 All-New Mercedes-Benz Electric CLA: Panoramic Summary of Multimodal Interaction Functions
• 5.16 All-New Mercedes-Benz Electric CLA: Analysis of Featured Modal Interaction Capabilities

6 Summary and Development Trends of Multimodal Interaction

• 6.1 Summary of Large Model Configuration Parameters of OEMs
• 6.2 Trend 1: Evolution of Multimodal Interaction Based on AI Large Models
• Vehicle Scenario Applications Under Multimodal Integration
• Cases
• 6.3 Trend 2
• Cockpit Scenario Application Cases
• Application Cases
• 6.4 Trend 3 (Voice Interaction)
• 6.5 Trend 4 (Visual Interaction)